Joseph Katakam

About Joseph Katakam

Platform Leadership & Delivery: • Principal Solutions Architect & Technology Leader – Innovative leader with extensive experience architecting End-to-End Solutions, including high-scale NBA Recommendation Engines utilizing both ML and deterministic scoring for Decisioning. • Expert in orchestrating global teams across Cloud based ecosystems to deliver sophisticated CRM, BPM, and AI/ML capabilities (Pega CDH, Databricks, SageMaker).• Proven track record of defining strategic architectural roadmaps and driving operational efficiency through CI/CD optimization and cross-functional leadership in complex, cloud-native transformations.Technical leadership, Architectural Strategies, Solutions & Governance: • Expert in the end-to-end design and implementation of large-scale ecosystems, unifying Data, Decisioning, Cloud, and AI/ML into cohesive, production-grade business solutions.• Experienced in architecting and delivering cloud-native, distributed systems at scale (multi-service systems, reliability, performance, and operability, Event-Driven Architecture (EDA) & Security-by-Design.• Designed and standardized architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).• Certifications: Certified Decisioning Architect, Lead System Architect & Data Scientist from Pega.1:1 Customer Engagement & Personalization, AI/ML, Realtime Decisioning & Next Best Action: • Designed, orchestrated and maintained the end-to-end NBA platform architecture, encompassing data ingestion, state management, decisioning, business rules, machine learning, and channel activation.• Established decision frameworks that combine business rules, eligibility logic, and machine learning–driven insights. A proficient command of data engineering, AI/ML systems, and deployment architecture.• Experienced in designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.Data & Event Architecture:• Leading Cross-Functional Alignment between Data Science, IT, and product teams to ensure data initiatives directly support business objectives.• Architected enterprise-scale event-driven systems utilizing Apache Kafka for managing state transitions for millions of daily events.• Designed hybrid batch and real-time ingestion frameworks that unified disparate data streams, reducing end-to-end data latency for real-time decisions by leveraging, data processing tools like Apache sparks, Data Bricks and other ETL tools.

Experience

1. Managing Delivery Architect Program Manager

   Capgemini

   Dec 2022 — Present · Atlanta, GA, US

   Managing Programs with global teams of Engineers, Testers, Architects and system administrators responsible for building, advocating Pega\'s BPM, Decisioning, Pega AI, BRE, Case Management and CRM technology. Responsible for building reusable assets to be shared across, supporting enablement of partners and building Pega\'s Cloud business.• Established strategic roadmaps for current applications & future initiatives and aligned cross-functional leadership on long-term data opportunities and technological investments.• Architected a high-scale NBA recommendation engine, integrating ML-driven models and business-led deterministic scoring to optimize digital sales and marketing performance. • Directed end-to-end platform migrations and technical upgrades, maintaining system integrity while enhancing decisioning speed and accuracy. Designed Platform architecture with managed cloud solutions.• Optimized AI solutions encompass data pipelines, model training and serving, and production MLOps.• Designed & Orchestrated Event-drive architectures, secure data access and safety controls.

Education

• Loyola Academy

  Master of Computer Applications (MCA), Computers

  2005 — 2008